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Staff Product Analyst

Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.

180k – 230kCaliforniaData AnalyticsRemote

About the role

What You'll Do

  • Own the analytics strategy for self-serve growth—design experiments, build measurement infrastructure, and drive insights that increase conversion from signup to first programmatic request
  • Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics
  • Partner directly with product managers and designers to define success metrics, establish baselines, and instrument products correctly
  • Design and analyze experiments across the developer journey, with deep understanding of API/SDK adoption patterns
  • Collaborate with analytics partners in Marketing and Sales to connect product usage signals with acquisition, activation, and downstream sales outcomes, building a holistic view of the end-to-end PLG funnel
  • Surface patterns in product usage across our growing portfolio to identify high-value use cases, customer segments, and where to double down on investment
  • Serve as the analytical partner to Product leadership: synthesize insights across multiple products and use cases to identify patterns that inform longer-term product strategy and investment decisions
  • Establish experimentation best practices and analytical rigor as the team scales PLG motions
  • Translate complex findings into clear, actionable recommendations that shape product roadmap and investment decisions
  • Build the analytics muscle for the team—creating frameworks and systems that enable PMs to self-serve insights while you focus on strategic analysis

You'll Love This Role If You

  • Have the seniority and leadership to define what "good" looks like for product analytics at Deepgram
  • Get energized by being the first—building systems from scratch and establishing foundational practices
  • Can balance deep analytical work with strategic pattern recognition across a multi-product portfolio
  • Have strong opinions on experimentation methodology and PLG measurement, backed by experience
  • Thrive in ambiguity and can define the right questions to ask, not just answer requests
  • Love partnering closely with product leadership to shape strategy in real-time
  • Bring natural customer empathy and curiosity, as well as openness to try new tools/AI workflows to maximize analytics efficiency

It's Important to Us That You Have

  • Staff-level expertise in product analytics, with proven ability to lead analytics strategy (we care more about expertise and leadership than years of experience)
  • Demonstrated track record of accelerating self-serve or PLG growth at a previous company, particularly driving conversion in developer-focused products
  • Strong SQL skills and hands-on experience working directly with data warehouses
  • Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be effective
  • Deep experience designing, running, and analyzing experiments with statistical rigor
  • Understanding of developer behavior and API/SDK adoption patterns—you know what signals matter for programmatic usage
  • Experience being the first or founding analyst on a team—comfortable building everything from scratch
  • Leadership presence to establish best practices and mentor PMs on data literacy
  • Excellent communication skills to translate technical findings into strategic recommendations for executives

It Would Be Great If You Had

  • Experience with Superset and Heap Analytics (or similar tools like Mixpanel, Amplitude, Looker, Mode)
  • Background in B2B SaaS with both self-serve and enterprise motions
  • Understanding of multi-product portfolio dynamics and how to measure cross-product patterns
  • Experience with usage-based pricing models or real-time streaming data products
  • Deep knowledge of product instrumentation and event tracking best practices
  • Expertise in advanced statistical methods beyond basic A/B testing (causal inference, cohort analysis, time-series analysis)
  • Experience working in voice AI, ML/AI platforms, or developer tools

Benefits & Perks

  • Holistic health: Medical, dental, vision benefits; Annual wellness stipend; Mental health support; Life, STD, LTD Income Insurance Plans
  • Work/life blend: Unlimited PTO; Generous paid parental leave; Flexible schedule; 12 Paid US company holidays; Quarterly personal productivity stipend; One-time stipend for home office upgrades; 401(k) plan with company match; Tax Savings Programs
  • Continuous learning: Learning / Education stipend; Participation in talks and conferences; Employee Resource Groups; AI enablement workshops / sessions

Skills

SQLSupersetHeap AnalyticsProduct AnalyticsA/B TestingData WarehousesDashboardsProduct-Led GrowthExperimentationStatistical Analysis

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